Single-Tap Precoders and Decoders for Multiuser MIMO FBMC-OQAM Under Strong Channel Frequency Selectivity

Rottenberg, François; Mestre, Xavier; Horlin, François; Louveaux, Jérôme

doi:10.1109/tsp.2016.2621722

Cited by 29 publications

(24 citation statements)

References 15 publications

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“…However, we also present the performance in terms of Bit Error Rate (BER) of an FBMC system in a more contemporary application scenarios. In this sense, we chose a point-to-point MIMO-FBMC system [37] deploying N t transmit antennas and N r receive antennas using Vertical Bell Labs Layered Space-Time (V-BLAST) topology, i.e., spatial multiplexing mode. Furthermore, symbols are equalized via a Zero-Forcing (ZF) MIMO equalizer with L w taps proposed in [38], which is more flexible than other methods such as [39] as the equalizer does not require a flat channel response.…”

Section: Bit Error Rate Performancementioning

confidence: 99%

FBMC Prototype Filter Design via Convex Optimization

Kobayashi

Abrão

2019

IEEE Trans. Veh. Technol.

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In this work, we propose a prototype filter design for Filter Bank MultiCarrier (FBMC) systems based on convex optimization, aiming superior spectrum features while maintaining a high symbol reconstruction quality. Initially, the proposed design is written as a non-convex Quadratically Constrained Quadratic Programming (QCQP), which is relaxed into a convex QCQP guided by a line search. Through the resulting problem, we design three prototype filters: Type-I, II and III. In particular, the Type-II filter shows a slightly better performance than the classical Mirabasi-Martin design, while Type-I and III filters offer a much more contained spectrum than most of the prototype filters suitable for FBMC applications.Furthermore, numerical results corroborate the effectiveness of the designed filters as the proposed filters offer fast decay and contained spectrum while not jeopardizing symbol reconstruction in practice. Index TermsPrototype filters, filter bank multicarrier, FBMC design, quadratic programming, convex optimization.

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Section: Bit Error Rate Performancementioning

confidence: 99%

FBMC Prototype Filter Design via Convex Optimization

Kobayashi

Abrão

2019

IEEE Trans. Veh. Technol.

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“…In this section, the way to compute the FIR filter coefficients is described. Within the last few years, the equalizer design for FBMC/OQAM has been subject of a number of research articles, in which optimization is mainly based on the zero‐forcing or minimum mean‐square error principle . An important conclusion of most contributions is that not a joint but per‐subcarrier equalization is more appropriate in FBMC/OQAM transmission.…”

Section: Equalizationmentioning

confidence: 99%

“…Within the last few years, the equalizer design for FBMC/OQAM has been subject of a number of research articles, in which optimization is mainly based on the zero-forcing 28,29 or minimum mean-square error principle. 30,31 An important conclusion of most contributions is that not a joint but per-subcarrier equalization is more appropriate in FBMC/OQAM transmission. On the other hand, a one-tap equalizer, widely used in CP-OFDM, turns out to be unsufficient for typical channel coherence bandwidths.…”

Section: Filter Designmentioning

confidence: 99%

SINR‐based adaptive MIMO FBMC/OQAM transmission with automatic modulation classification

Haring

2018

Trans Emerging Tel Tech

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The performance of filter bank multicarrier offset quadrature‐amplitude modulation systems is known to be limited by intrinsic interference in highly frequency‐selective radio propagation conditions. In this article, a novel adaptive multiple‐input–multiple‐output (MIMO) filter bank multicarrier transmission system in time‐division duplex mode is analyzed in which filter bank‐based interference power is considered in the bit loading (BL) and automatic modulation classification (AMC) algorithm. In order to reduce the amount of intrinsic interference, a filter design for a general multitap MIMO channel equalization is elaborated. For this linear MIMO receiver technique, an analytical expression of the signal‐to‐interference‐and‐noise power ratio after equalization is described. Since BL and AMC rely on the information about the subcarrier link quality, the influence of residual interference on its performance in a MIMO setup is quantified. For a wireless local area network similar propagation scenario, incorporating the information about the interference power in the BL and AMC method results in a significant system performance improvement at high signal‐to‐noise power ratios.

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“…The resulting expression can be simplified using [41,Lemma 3] showing that, in the particular case considered here, we have η (+,−) (q1,r1),(q2,r2) = η (−,+) (q1,r1),(q2,r2) (the transmit pulse does not change). Hence, we will omit the superscripts (+,−) and (−,+) .…”

Section: Proof Of Theorem Iii2mentioning

confidence: 99%

Parallel Equalization Structure for MIMO FBMC-OQAM Systems Under Strong Time and Frequency Selectivity

Rottenberg

Mestre

Petrov

et al. 2017

IEEE Trans. Signal Process.

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Offset-QAM-based filterbank multicarrier (FBMC-OQAM) has been shown to be a promising alternative to cyclic prefix-orthogonal frequency division multiplexing (CP-OFDM) for the future generation of wireless communication systems. Unfortunately, as the channel gets more selective in time and frequency, the FBMC-OQAM orthogonality is progressively destroyed and distortion appears after the demodulation process at the receiver. While channel frequency selectivity has been very widely studied in the FBMC literature, the impact of time selectivity of the channel has not received that much attention. In this paper, the effect of the two types of selectivity on a multiple-input multiple-output (MIMO) FBMC system is characterized and a parallel equalization structure that can compensate for the doubly dispersive nature of the channel is proposed. This design uses multiple analysis filterbanks (AFB) and extends previous approaches that were dealing only with channel frequency selectivity. A th... Abstract-Offset-QAM-based filterbank multicarrier (FBMC-OQAM) has been shown to be a promising alternative to cyclic prefix-orthogonal frequency division multiplexing (CP-OFDM) for the future generation of wireless communication systems. Unfortunately, as the channel gets more selective in time and frequency, the FBMC-OQAM orthogonality is progressively destroyed and distortion appears after the demodulation process at the receiver. While channel frequency selectivity has been very widely studied in the FBMC literature, the impact of time selectivity of the channel has not received that much attention. In this paper, the effect of the two types of selectivity on a multipleinput multiple-output (MIMO) FBMC system is characterized and a parallel equalization structure that can compensate for the doubly dispersive nature of the channel is proposed. This design uses multiple analysis filterbanks (AFB) and extends previous approaches that were dealing only with channel frequency selectivity. A theoretical approximation of the remaining distortion after equalization is given. The study is performed for a general MIMO system but can also be particularized to single-input single-output (SISO) systems. Simulation results demonstrate the high efficiency of the proposed receiver structure and the accuracy of the theoretical approximations is verified.article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.

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Single-Tap Precoders and Decoders for Multiuser MIMO FBMC-OQAM Under Strong Channel Frequency Selectivity

Cited by 29 publications

References 15 publications

FBMC Prototype Filter Design via Convex Optimization

FBMC Prototype Filter Design via Convex Optimization

SINR‐based adaptive MIMO FBMC/OQAM transmission with automatic modulation classification

Parallel Equalization Structure for MIMO FBMC-OQAM Systems Under Strong Time and Frequency Selectivity

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